Statistical Image Processing Techniques for Noisy Images

Refregier Phillipe Goudail Francois

ISBN 10: 1461346924 / ISBN 13: 9781461346920

Published by Springer, 2013

About this Item

Print on Demand pp. 272 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.

Seller Inventory # 131520554

Bibliographic Details

• Title: Statistical Image Processing Techniques for Noisy Images
• Publisher: Springer
• Publication Date: 2013
• Language: English
• ISBN 10: 1461346924
• ISBN 13: 9781461346920
• Binding: Soft cover
• Condition: New

About this title

Synopsis

Statistical Processing Techniques for Noisy Images presents a statistical framework to design algorithms for target detection, tracking, segmentation and classification (identification). Its main goal is to provide the reader with efficient tools for developing algorithms that solve his/her own image processing applications. In particular, such topics as hypothesis test-based detection, fast active contour segmentation and algorithm design for non-conventional imaging systems are comprehensively treated, from theoretical foundations to practical implementations. With a large number of illustrations and practical examples, this book serves as an excellent textbook or reference book for senior or graduate level courses on statistical signal/image processing, as well as a reference for researchers in related fields.

About the Author

Philippe Refregier is Professor in the School of Physics in Marseille (ENSPM) and heads the Physics and Image Processing group of the Fresnel Institute, UMR CNRS 6133.